NextWaveAI
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NextWave AI, the AI practice of NextWave

AI that runs inside financial services, not beside it.

NextWave helps banks, insurers and asset managers redesign how work gets done with AI agents, built on controls that the board and the regulator can trust.

Talk to the AI practice (opens in a new tab) See agentic redesign in motion
  • 22Financial services clients
  • 100+Projects delivered
  • 8AI propositions
  • 200+AI skills in the library

As published by NextWave, November 2026.

Propositions

Eight propositions, one standard of control.

Each one is delivered with the controls a regulated firm needs to approve, run and defend AI.

  1. AI Strategy and Value

    Decide where AI pays, what it is worth and how the portfolio is governed.

    OutcomeA governed portfolio with a value test at the gate, and a published production count rather than a pilot count.

    • Maturity and readiness assessment
    • Use case portfolio and intake governance
    • Value and benefits framework

  2. Agentic AI Business Process Redesign

    Redesign end-to-end processes around AI agents, with people at the decisions that matter.

    OutcomeProcesses that run on agents from intake to outcome, with people on exceptions and decisions, and controls built in.

    • Process diagnosis and target design
    • Agent and skill design
    • Human checkpoints and escalation

  3. Agentic Delivery at Scale

    Build software and run delivery with AI agents, with the engineering discipline of a regulated firm.

    OutcomeShipped, evaluated, supportable software rather than technical debt.

    • Agentic development lifecycle
    • Evaluation and observability
    • Legacy modernisation

  4. Sovereign AI

    AI that a regulated firm can control, evidence and, where required, keep in its own jurisdiction.

    OutcomeA clear decision on what to own and what to rent, and an intelligence layer the firm controls.

    • Own versus rent assessment
    • Intelligence layer build
    • Forward deployed engineering

  5. AI Risk, Regulation and Assurance

    Governance, controls and assurance so AI can be approved, run and defended.

    OutcomeAn attestable AI control environment that holds under supervisory challenge.

    • AI governance framework
    • Model inventory, tiering and validation
    • AI control tower and monitoring

  6. Financial Crime and Risk Intelligence

    AI for detecting, investigating and reporting financial crime and risk.

    OutcomeFewer false positives, more genuine detection, and investigators on exceptions rather than queues.

    • Transaction monitoring modernisation
    • Perpetual KYC
    • Entity resolution and network analytics

  7. Data Foundations for AI

    The data platforms, quality and governance that AI needs to run in production.

    OutcomeGoverned, lineage-traced, entity-resolved data fit for a model and a regulator.

    • AI readiness assessment
    • Data domain and product design
    • Lineage and provenance

  8. Intelligent Operations

    AI-led operating models that run core processes with fewer manual steps.

    OutcomeA measurable reduction in unit cost and cycle time where volume is highest, with controls intact.

    • Claims automation
    • Contact centre and agent assist
    • Payment exceptions and reconciliation

Agentic redesign in motion

Agents run the routine. People make the calls that matter.

An illustrative customer review, from intake to report.

  • Agents handle intake, validation, screening, action and reporting.
  • People decide the exceptions, at a defined checkpoint.
  • Every case leaves an evidence trail for risk, audit and regulators.

Illustrative flow

Approach

One method, from value case to industrialised service.

Each stage ends in a defined output, so progress is measured in results, not activity.

  1. 01

    Frame the Value

    Agree where AI pays and what it must return.

    You receiveA ranked value case with agreed measures.

  2. 02

    Decode the Domain

    Map how the work is done today, rules and exceptions included.

    You receiveA map of the process, its rules and its exceptions.

  3. 03

    Engineer the Context

    Give agents governed data, entitlements and knowledge.

    You receiveGoverned data and knowledge, ready for agents.

  4. 04

    Redesign the Decisions

    Decide what agents do, what people decide and where control sits.

    You receiveA target design with decision points and controls.

  5. 05

    Compose the Intelligence

    Assemble agents, skills and tools into a working service.

    You receiveWorking agents and skills in a test environment.

  6. 06

    Prove the Trust

    Evaluate and evidence the result for risk, audit and regulators.

    You receiveEvaluation evidence and a control pack for risk.

  7. 07

    Industrialise the Value

    Run it, measure it and scale it across the firm.

    You receiveA live service, measured value and a plan to scale.

Two ways to engage

AI Sprint

A focused engagement that takes an AI idea to a working proof.

Discuss an AI Sprint (opens in a new tab)

AI Native Delivery

How NextWave delivers programmes, with AI at the centre of the work.

Discuss AI Native Delivery (opens in a new tab)

AI skills by role

Skills built for the roles that run the firm.

Select a function to see four examples from the library.

200+skills in the library

Financial crime

KYC Document Intake and Validation

Onboarding operations assistant

Validates client documents on intake and requests only what is genuinely missing.

Perpetual KYC Event Reviewer

Customer review analyst assistant

Monitors trigger events and prepares a targeted review for the customer concerned.

Alert Investigation Pack Assembler

Financial crime investigator assistant

Assembles the investigation pack with a cited narrative, so time goes on the decision.

Adverse Media Disambiguator

Screening analyst assistant

Separates genuine adverse media from same-name noise by resolving the entity.

Proof

Outcomes delivered for financial services firms.

  • 75%

    Fewer anti-money laundering false positives, with 80% lower investigation time.

    Leading global bank
  • 5minutesFrom 5 weeks

    Regulatory data reporting, automated.

    Global Tier 1 bank
  • 2hoursFrom 2 weeks

    For a reinsurance collateral process, automated with AI agents.

    Global reinsurance business
  • $750m

    Capital reduction, saving $75m a year.

    FTSE 100 bank
  • 80+controls

    Designed and implemented in under five months, across 173 countries.

    Global Tier 1 bank
  • 25%

    Under budget and on time, for a global order management platform.

    $1tn asset manager

Client details anonymised. Outcomes as delivered by NextWave.

Why NextWave

Domain. Data. AI native.

Every firm can buy the same models. Business context decides whether they deliver value or just output.

Switch the view, or select Domain, Data or AI native to follow its flow.

  • OutcomeKPIs and a baseline agreed before buildOutputPlausible, but not tied to a result
  • TransparencySources cited, a person at the checkpoint, a full audit trailUnverifiedNo sources, no checkpoint, no trail
  • EvaluationEvery skill tested before releaseUntestedProblems found in production
  • CostSized to the workflow, not the modelUnboundedCost grows with every call

Figures as published by NextWave, November 2026.

  • NextWave Harness

    Governed AI delivery, on one platform.

    Coming soon

  • NextWave Keystone

    Domain-specific AI models, engineered for financial services.

    Coming soon

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